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of algorithms, data structures, high-performance computing, machine learning and microbiology. The position at the Department of Molecular Biology at Umeå University is temporary for four years to start
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning
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Applications are open The PhD project is part of a collaborative project: ‘A “virtual market” for analysing the uptake of energy efficiency measures in residential and commercial sectors’, funded by
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Review Date: (To ensure consideration, please submit all application materials before review date) 03/13/2026 Posting Close Date Open Until Filled Yes Description of Work Recognizing that collaboration and
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with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment
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English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii
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generalizable, learning-based frameworks for dexterous robotic manipulation that are robust to environmental variability and transferable across diverse underwater robotic platforms. As a PhD in this position
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research Strong knowledge of tumor biology Ability to interpret scientific literature, acquire new knowledge, and compile data Good collaboration and communication skills Excellent proficiency in English
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and complex terrains. To enable this vision, this position targets generalizable, learning-based frameworks for dexterous robotic manipulation that are robust to environmental variability and
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the project’s research area Training in higher education teaching and learning Experience teaching Swedish and European economic history Documented administrative ability Assessment criteria The School